Please use this identifier to cite or link to this item:
https://doi.org/10.1016/j.patcog.2005.11.014
DC Field | Value | |
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dc.title | A rule-based approach for robust clump splitting | |
dc.contributor.author | Kumar, S. | |
dc.contributor.author | Ong, S.H. | |
dc.contributor.author | Ranganath, S. | |
dc.contributor.author | Ong, T.C. | |
dc.contributor.author | Chew, F.T. | |
dc.date.accessioned | 2014-06-17T02:35:37Z | |
dc.date.available | 2014-06-17T02:35:37Z | |
dc.date.issued | 2006-06 | |
dc.identifier.citation | Kumar, S., Ong, S.H., Ranganath, S., Ong, T.C., Chew, F.T. (2006-06). A rule-based approach for robust clump splitting. Pattern Recognition 39 (6) : 1088-1098. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2005.11.014 | |
dc.identifier.issn | 00313203 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/54798 | |
dc.description.abstract | This paper presents a robust rule-based approach for the splitting of binary clumps that are formed by objects of diverse shapes and sizes. First, the deepest boundary pixels, i.e., the concavity pixels in a clump, are detected using a fast and accurate scheme. Next, concavity-based rules are applied to generate the candidate split lines that join pairs of concavity pixels. A figure of merit is used to determine the best split line from the set of candidate lines. Experimental results show that the proposed approach is robust and accurate. © 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.patcog.2005.11.014 | |
dc.source | Scopus | |
dc.subject | Clump splitting | |
dc.subject | Concavity analysis | |
dc.subject | Overlapping objects | |
dc.subject | Segmentation | |
dc.type | Article | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.description.doi | 10.1016/j.patcog.2005.11.014 | |
dc.description.sourcetitle | Pattern Recognition | |
dc.description.volume | 39 | |
dc.description.issue | 6 | |
dc.description.page | 1088-1098 | |
dc.description.coden | PTNRA | |
dc.identifier.isiut | 000236696400008 | |
Appears in Collections: | Staff Publications |
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